• neurons in later layers in the network. Pooling is most commonly used in convolutional neural networks (CNN). Below is a description of pooling in 2-dimensional...
    24 KB (3,383 words) - 23:02, 23 May 2025
  • one layer into a single neuron in the next layer. Local pooling combines small clusters, tiling sizes such as 2 × 2 are commonly used. Global pooling acts...
    138 KB (15,585 words) - 07:00, 4 June 2025
  • Global pooling: a global pooling layer, also known as readout layer, provides fixed-size representation of the whole graph. The global pooling layer must...
    43 KB (4,791 words) - 17:50, 17 June 2025
  • Thumbnail for Layer (deep learning)
    fully-connected layer for further processing. See also: CNN model. The Pooling layer is used to reduce the size of data input. The Recurrent layer is used for...
    6 KB (536 words) - 17:31, 16 October 2024
  • Thumbnail for AlexNet
    eight layers: the first five are convolutional layers, some of them followed by max-pooling layers, and the last three are fully connected layers. The...
    23 KB (2,534 words) - 19:21, 10 June 2025
  • Thumbnail for LeNet
    as convolutional layer, pooling layer and full connection layer. Every convolutional layer includes three parts: convolution, pooling, and nonlinear activation...
    31 KB (3,950 words) - 16:44, 16 June 2025
  • ready to use Thread pool pattern, a programming method where a number of threads are created to perform a number of tasks Pooling layer, a form of non-linear...
    5 KB (640 words) - 17:52, 22 May 2025
  • Thumbnail for VGGNet
    convolutional layers with stride 1, followed by ReLU activations. Max-pooling layers: After some convolutional modules, max-pooling layers with a 2 × 2...
    9 KB (988 words) - 16:28, 26 May 2025
  • deviation of the deepest layer in Inception v3 (the 2048-dimensional activation vector of its last pooling layer.) These layers are closer to output nodes...
    14 KB (1,740 words) - 02:51, 20 January 2025
  • 2017, as networks grew increasingly deep. Convolutional neural network Pooling layer Feature learning Deep learning Computer vision Goodfellow, Ian; Bengio...
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  • dimension-reduction by concatenating the output from a convolutional layer and a pooling layer. As an example, a tensor of size 35 × 35 × 320 {\displaystyle...
    10 KB (1,144 words) - 21:56, 28 April 2025
  • reject the pooling layer strategy of conventional CNNs that reduces the amount of detail to be processed at the next higher layer. Pooling allows a degree...
    28 KB (4,008 words) - 22:23, 5 November 2024
  • Thumbnail for Quantum machine learning
    pooling layer is also offered to assure validity. In QCNN architecture, the pooling layer is typically placed between succeeding convolutional layers...
    78 KB (9,369 words) - 13:42, 5 June 2025
  • hidden weights of the convolution layer are the parameters to the filter. These can be reduced with a pooling layer which reduces the resolution (size)...
    31 KB (4,104 words) - 16:37, 16 June 2025
  • linear-softmax layer to produce the label outputs. The original code base defined the final linear layer as a "pooler layer", in analogy with global pooling in computer...
    31 KB (3,568 words) - 19:15, 25 May 2025
  • Reliable Server Pooling (RSerPool) is a computer protocol framework for management of and access to multiple, coordinated (pooled) servers. RSerPool is an IETF...
    10 KB (1,315 words) - 01:27, 28 February 2025
  • Thumbnail for Activation function
    activation functions are extensively used in the pooling layers in convolutional neural networks, and in output layers of multiclass classification networks. These...
    25 KB (1,960 words) - 05:35, 26 April 2025
  • (such as plastics, liquids or powder grains being fused), typically layer by layer. In the 1980s, 3D printing techniques were considered suitable only...
    210 KB (21,957 words) - 20:49, 12 June 2025
  • The concepts of spatial pooling and temporal pooling are still quite important in the current HTM algorithms. Temporal pooling is not yet well understood...
    30 KB (3,571 words) - 20:27, 23 May 2025
  • Thumbnail for Vision transformer
    as being equally good. Multihead attention pooling (MAP) applies a multiheaded attention block to pooling. Specifically, it takes as input a list of vectors...
    38 KB (4,181 words) - 20:47, 10 June 2025
  • Thumbnail for Blood fractionation
    Biomedical Engineering. 8 (2): 89–92. doi:10.1515/cdbme-2022-1024. Blood Plasma Pooling (from the Bloodbook.com website) Statement by Dr. Kathryn Zoon, Food and...
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  • A pool fire is a type of diffusion flame where a layer of volatile liquid fuel is evaporating and burning. The fuel layer can be either on a horizontal...
    4 KB (534 words) - 16:31, 16 April 2024
  • ^{7\times 5}} . S {\displaystyle S} is then subject to a dynamic min-pooling layer to produce a fixed size n p × n p {\displaystyle n_{p}\times n_{p}}...
    24 KB (2,939 words) - 16:55, 9 June 2025
  • Thumbnail for Stephen Miller (advisor)
    commissioned in 1883 to help raise funds for the pedestal" and "gave another layer of meaning to the statue beyond its abolitionist message." Miller's politics...
    114 KB (9,729 words) - 14:55, 16 June 2025
  • extraction or pooling without introducing extra trainable parameters. Training behaviour. In image-classification tests, poset pooling achieved finer...
    136 KB (16,837 words) - 20:55, 16 June 2025
  • Thumbnail for Mixed layer
    limnological mixed layer is a layer in which active turbulence has homogenized some range of depths. The surface mixed layer is a layer where this turbulence...
    22 KB (2,785 words) - 00:21, 13 August 2024
  • (Closed) March 11, 2013 Lakeview Restaurant Toronto, Ontario, Canada 204 12 Layers of Flavor Tortugas' Lie Nags Head, North Carolina March 18, 2013 The Ace...
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  • Thumbnail for Potrero Chico
    behind. Millions of years of flooding and evaporation left a significant layer of salt, that would eventually form the salt dome beneath the canyon. Las...
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  • Thumbnail for Cloud computing
    tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant...
    78 KB (8,029 words) - 21:44, 12 June 2025
  • translation-invariant. CDBNs use the technique of probabilistic max-pooling to reduce the dimensions in higher layers in the network. Training of the network involves a...
    2 KB (243 words) - 21:00, 9 September 2024